code: def normal_distribution(self, pos, sample, funcs, func_params):
      curr_sigma_sq = self.sigma_sq(sample, funcs, func_params)
      delta = self.interm_res[pos - 1] - self.f_comb(
          pos, sample, funcs, func_params
      )
      return np.exp(
          np.square(delta) / (-2.0 * curr_sigma_sq)
      ) / np.sqrt(2 * np.pi * np.sqrt(curr_sigma_sq))
  
imports: import scipy
  import logging
  import numpy
  import time
  from scipy import optimize
label_desc: Use image node_id 7 for calling the CurveModel obj's underlying member method code with example usage: obj.normal_distribution(pos, sample, funcs, func_params) and returns: unknown